Commodity cluster-based parallel processing of hyperspectral imagery

Journal of Parallel and Distributed Computing

Volumn 66, Issue 3, 2006, Pages 345-358

  Plaza, Antonio ^a,b   Valencia, David ^a   Plaza, Javier ^a   Martinez, Pablo ^a,c  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b University of Extremadura ^*  (Spain)

^c Neural Networks and Signal Processing Group (GRNPS)   (Spain)

Author keywords

Commodity cluster; Hyperspectral imaging; Load balance; Mathematical morphology; Parallelizable spatial spectral partition (PSSP)

Indexed keywords

COMMODITY CLUSTER; HYPERSPECTRAL IMAGERY; LOAD BALANCE;

DATA ACQUISITION; DATA REDUCTION; IMAGE PROCESSING; PARALLEL ALGORITHMS; REMOTE SENSING; RESPONSE TIME (COMPUTER SYSTEMS);

PARALLEL PROCESSING SYSTEMS;

EID: 32444436826     PISSN: 07437315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpdc.2005.10.001     Document Type: Article

References (27)

1. T. Achalakul, and S. Taylor A distributed spectral-screening PCT algorithm J. Parallel Distrib. Comput. 63 2003 373 384
2. G. Aloisio, and M. Cafaro A dynamic earth observation system Parallel Comput. 29 2003 1357 1362
3. R. Brightwell, L.A. Fisk, D.S. Greenberg, T. Hudson, M. Levenhagen, A.B. Maccabe, and R. Riesen Massively parallel computing using commodity components Parallel Comput. 26 2000 243 266
4. C.-I. Chang Hyperspectral Imaging: Techniques for Spectral Detection and Classification 2003 Kluwer Academic Publishers Dordrecht
5. L. Chen, I. Fujishiro, and K. Nakajima Optimizing parallel performance of unstructured volume rendering for the Earth Simulator Parallel Comput. 29 2003 355 371
6. M.K. Dhodhi, J.A. Saghri, I. Ahmad, and R. Ul-Mustafa D-ISODATA: a distributed algorithm for unsupervised classification of remotely sensed data on network of workstations J. Parallel Distrib. Comput. 59 1999 280 301
7. J. Dorband, J. Palencia, and U. Ranawake Commodity computing clusters at Goddard Space Flight Center J. Space Commun. 1 3 2003 (Available online: http://satjournal.tcom.ohiou.edu/pdf/Dorband.pdf )
8. M. Gil, C. Gil, and I. Garcia The load unbalancing problem for region growing image segmentation algorithms J. Parallel Distrib. Comput. 63 2003 387 395
9. R.O. Green Imaging spectroscopy and the airborne visible/infrared imaging spectrometer AVIRIS Remote Sens. Environ. 65 1998 227 248
10. J.A. Gualtieri, J.C. Tilton, Hierarchical segmentation of hyperspectral data, XI NASA/Jet Propulsion Laboratory Airborne Earth Science Workshop, Pasadena, CA, USA, 2002.
11. K.A. Hawick, P.D. Coddington, and H.A. James Distributed frameworks and parallel algorithms for processing large-scale geographic data Parallel Comput. 29 2003 1297 1333
12. N. Keshava, and J.F. Mustard Spectral unmixing IEEE Signal Process. Mag. 19 2002 44 57
13. D.A. Landgrebe Signal Theory Methods in Multispectral Remote Sensing 2003 Wiley Hoboken, NJ
14. J. Le Moigne, and J.C. Tilton Refining image segmentation by integration of edge and region data IEEE Trans. Geosci. Remote Sensing 33 1995 605 615
15. M.J. Martín, D.E. Singh, J.C. Mouriño, F.F. Rivera, R. Doallo, and J.D. Bruguera High performance air pollution modeling for a power plan environment Parallel Comput. 29 2003 1763 1790
16. C. Nicolescu, and P. Jonker A data and task parallel image processing environment Parallel Comput. 28 2002 945 965
17. A. Plaza, Development, validation and testing of a new morphological method for hyperspectral image analysis that integrates spatial and spectral information, Ph.D. Dissertation, Computer Science Department, University of Extremadura, Spain, 2002.
18. A. Plaza, P. Martinez, R.M. Perez, and J. Plaza Spatial/spectral endmember extraction by multidimensional morphological operations IEEE Trans. Geosci. Remote Sensing 40 9 2002 2025 2041
19. A. Plaza, P. Martinez, R.M. Perez, and J. Plaza A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data IEEE Trans. Geosci. Remote Sensing 42 3 2004 650 663
20. A. Plaza, P. Martinez, R.M. Perez, and J. Plaza A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles Pattern Recog. 37 2004 1097 1116
21. A. Plaza, D. Valencia, P. Martínez, J. Plaza, R.M. Perez, Parallel implementation of algorithms for endmember extraction from AVIRIS hyperspectral imagery, Proceedings of the XIII NASA/Jet Propulsion Laboratory Airborne Earth Science Workshop, Pasadena, CA, USA, 2004.
22. K. Sano, Y. Kobayashi, and T. Nakamura Differential coding scheme for efficient parallel image composition on a PC cluster system Parallel Comput. 30 2004 285 299
23. F.J. Seinstra, and D. Koelma P-3PC: a point-to-point communication model for automatic and optimal decomposition of regular domain problems IEEE Trans. Parallel Distrib. Systems 13 2002 758 768
24. F.J. Seinstra, and D. Koelma User transparency: a fully sequential programming model for efficient data parallel image processing Concurrency and Computation: Practice and Experience 16 2004 611 644
25. F.J. Seinstra, D. Koelma, and J.M. Geusebroek A software architecture for user transparent parallel image processing Parallel Comput. 28 2002 967 993
26. P. Soille Morphological Image Analysis: Principles and Applications second ed. 2003 Springer Berlin
27. P. Wang, K.Y. Liu, T. Cwik, and R.O. Green MODTRAN on supercomputers and parallel computers Parallel Comput. 28 2002 53 64